Senior MLOps Engineer
EPAM Systems
Senior MLOps Engineer Description
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
We are seeking an experienced Senior MLOps Engineer, expertise in machine learning operations. The ideal candidate will play a key role in strategizing, planning, and implementing MLOps initiatives, working closely with business stakeholders and leading a team of junior and senior ML engineers. The candidate should have a strong background in designing, developing, and deploying complex AI/ML solutions on cloud infrastructure.
#LI-DNI#REF-IN-WOMENResponsibilities
- Strategise, plan and deliver MLOps initiatives by liasing with key business stakeholders
- Design, develop and deploy complex AI/ML solutions on cloud infrastructure (using ML engineering, ML Ops workflows & tools) that can scale in response to changing business and technical requirements
- Create infra and architecture diagrams
- Ability to project manage, allocate activties to junior ML engineers and take it to closure
- Improvise coding practices, support code reviews and bring in best practices for model management
- Provide thought leadership in terms of new technologies and tools, suggest improvements
- Able to support in the interview process to hire junior and senior ML engineers
Requirements
- Minimum of 6 years of hands-on experience in MLOps with a focus on deploying AI/ML solutions
- Proven project management skills, with the ability to lead and coordinate activities within a team
- Excellent communication and collaboration skills
- Experience with ML engineering, model management, and supporting code reviews
- Demonstrated ability to provide thought leadership and drive innovation in MLOps processes
We offer
- Opportunity to work on technical challenges that may impact across geographies
- Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
- Opportunity to share your ideas on international platforms
- Sponsored Tech Talks & Hackathons
- Unlimited access to LinkedIn learning solutions
- Possibility to relocate to any EPAM office for short and long-term projects
- Focused individual development
- Benefit package:
- Health benefits
- Retirement benefits
- Paid time off
- Flexible benefits
- Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)